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Answer: Leverage Azure Synapse Analytics database templates for structured data processing.
Leveraging Azure Synapse Analytics database templates for structured data processing ensures that the templates are tailored to meet the company's specific data processing and analytics requirements. This approach supports efficient data management and analysis for diverse data sources like sales, inventory, and customer data.
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You are working on a project to recommend and implement Azure Synapse Analytics database templates for a retail company. The company has diverse data sources, including sales, inventory, and customer data. Describe the process you would follow to select and implement the appropriate database templates, including how you would ensure that the templates meet the company's specific data processing and analytics requirements.
A
Use Azure Data Lake Storage for unstructured data storage.
B
Implement Azure Cosmos DB for high-throughput transactional data.
C
Leverage Azure Synapse Analytics database templates for structured data processing.
D
Deploy Azure HDInsight for big data analytics.